Stefan: I'll file the bug. Franck: thanks for bringing up the topic again ;-) Best, Daniel Stefan.Manegold@cwi.nl wrote:
Hi,
please bear with us. We're also only humans with 24 hours to spend per day. ;-)
I suppose this is a bug; looks like it might be a too eager attempt to (in this case, i.e., after the join, incorrectly) exploit the uniqueness of the primary key of table c when determining the groups.
Could you --- Franck or Daniel --- please file a bug report using Daniel's detailed example?
I'll try to fix it as soon as our agendas allow so ...
Thanks, Stefan
On Thu, May 05, 2011 at 09:55:37AM +0200, Franck Routier wrote:
Hi list,
this seems particularly annoying, to say the least, and I don't see any follow up on the list. Is this confirmed and a known problem (maybe with a bug report), or is it solved, or what ?
Franck
Le samedi 09 avril 2011 à 05:57 +0300, Michael Sioutis a écrit :
I am getting same results with latest development release:
+------+------+------+ | name | id | name | +======+======+======+ | b1 | 1 | c1 | | b1 | 2 | c2 | | b1 | 3 | c3 | +------+------+------+ 3 tuples
+------+------+------+ | name | id | name | +======+======+======+ | b1 | 1 | c1 | | b1 | 2 | c2 | | b1 | 3 | c3 | | b2 | 1 | c1 | | b2 | 2 | c2 | | b2 | 3 | c3 | | b3 | 1 | c1 | | b3 | 2 | c2 | | b3 | 3 | c3 | +------+------+------+ 9 tuples
Mike
On Fri, Apr 8, 2011 at 11:50 PM, Daniel Boesswetter
wrote: Hi again, now I managed to isolate the problem even more. Attached you will find a SQL script which creates 4 tables, inserts a few tuples and then queries them twice: the first query produces too few rows, but after dropping a primary key on one of the tables (it matters which one), the second query returns the correct results.
Looks like the optimizer optimizes a little too eagerly in the presence of primary keys?
Best regards, Daniel
Daniel Boesswetter wrote: Hi,
we are using MonetDB (Oct-2010) for analyzing a 250G data warehouse and have found at least one "thing" which might be a serious bug. The simplest scenario that I have found to describe it, is as follows:
SELECT comp.id as compid, comp.name, affnets.name as affid FROM toc INNER JOIN app ON toc.application_id=app.id INNER JOIN comp ON app.company_id = comp.id INNER JOIN affnets ON toc.affiliate_network_id=affnets.id GROUP BY compid, comp.name, affid
This query is supposed to return all unique company/affnet pairs which occur in the fact table "toc". However, it returns only the unique company-names, each with a random (the first?) affnet. (Of course, this could be accomplished with DISTINCT, but our aim to to aggregate other fields).
If I change the query to
select app.company_id as compid, comp.name, affnets.name as affid ...
or
select comp.id as compid, comp.name, affnets.name as affid ...
i.e. semantically the same but only with fields from 2 directly joined tables in the GROUP BY, then the result is correct.
Question: Is this a bug or are we missing something?
Thank you in advance!
Daniel
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